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《Journal of Chang'an University(Natural Science Edition)》 2010-04
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Intelligent route selection of highway alignments based on GIS and hybrid genetic algorithm and particle swarm optimization

TU Sheng-wen1,2,SU Zhou3(1.School of Traffic and Transportation Engineering,Changsha University of Science and Technology,Changsha 410076,Hunan,China;2.School of Transportation,Southeast University,Nanjing 210096,Jiangsu,China;3.Research Institute of Hubei Province Administration of Highway,Wuhan 430030,Hubei,China)  
An intelligent route selection methodology based on GIS and a hybrid genetic algorithm(GA) and particle swarm optimization(PSO) is presented to overcome the limitations of existing method in practical applications.AutoCAD Map is taken for the platform of the method and support the topographic maps in DWG format directly.The system built by proposed measure can obtain the spatial information of zones along highway alignments dynamically and offer support to the decision-making of highway route selection.In addition,a hybrid algorithm which integrates the merit of GA and PSO is introduced to perform optimization during route selection.The hybrid algorithm is realized by adding crossover operators and mutation operators of genetic algorithm to basic particle swarm optimization.The numerical example results indicate that the algorithm can quickly converge to the optimal solution for about 35 times of iteration,the presented methodology has good performance in search of the best highway alignment and is suited for the practical applications of intelligent route selection.1 tab,11 figs,16 refs.
【Fund】: 江苏省交通科学研究计划项目(05R26)
【CateGory Index】: U412.32
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